科技職缺
職缺列表
Sr. Applied AI Engineer - Wellness
Builds and deploys ML pipelines, AI agents, and retrieval pipelines for a wellness-focused AI company. Designs production databases and caching layers, integrates with CRM systems, and collaborates with product and engineering teams.
Fabric Architect
Lead architect/engineer designing and delivering Microsoft Fabric data platforms—Lakehouse, Warehouse, and OneLake—for Deloitte client engagements. Builds medallion architectures, ETL pipelines, governance/RBAC, and semantic models hands-on using PySpark, SQL, Dataflow Gen2, and dbt.
Data Platform Engineer
Data Platform Engineer at Harman International building data lakehouse architectures, ingestion pipelines, and data APIs to curate datasets for AI/ML, with responsibility for governance, data quality, and pipeline reliability.
Data Engineer Graduate (Data Platform E-commerce) - 2027 Start
Build reliable e-commerce data pipelines and ETL workflows, design data transformations and engineering practices, ingest and integrate data, and support reporting with scalable big-data systems. The graduate role starts in 2027.
Applied AI Engineer (Squad Lead)
Lead a squad building production-grade GenAI agents and applications end-to-end for a hyper-scale fintech trading platform. Day-to-day work spans LLM orchestration (RAG, multi-agent, tool-calling), cloud-native AI pipelines, vector databases, and full-stack development with AI-native tools like Cursor.
Dév Fullstack .Net 8+ / Angular+React
Full Stack Software Engineer (Supervising Associate) on emagine's Digital Factory team, designing and delivering end-to-end enterprise web applications across frontend, backend, APIs, and data layers using C#/.NET 8+, Angular/React, and Azure services in a regulated environment.
Product Analyst I- Catalog Content
Product Analyst supporting the lifecycle of O'Reilly Auto Parts' catalog content — ingesting vendor/OEM data (ACES/PIES and API feeds), validating fitment (year/make/model) attributes, running UAT and A/B tests, and evaluating AI tools for catalog automation.
Agentic AI Engineer, AVP
Design, build, and evolve enterprise-grade Agentic AI platforms supporting investment management, research, performance, and operations. Combines hands-on engineering with architectural judgment across LLMs, RAG, multi-agent orchestration, prompt engineering, and cloud AI services like Azure/AWS/GCP.
AI Architect
Design end-to-end AI and Agentic AI architectures for enterprise systems, collaborating with cross-functional teams to build scalable, secure, and governable solutions. Core stack spans cloud platforms (Azure, AWS, GCP), MLOps tooling, and agentic AI frameworks like LangChain and CrewAI.
Platform Engineer (Data Platform / DevOps)
Designs, builds, and operates production data pipelines and models for enterprise analytics at a global semiconductor company, implementing ingestion, transformation, and storage solutions on standardized data platforms with a DevOps focus.
Platform/DevOps Lead
Designs, builds, and operates production data pipelines and data models that support enterprise analytics and operational systems, focusing on scalable, governed data platforms for ingestion, transformation, and storage.
DevOps Platform Engineer
DevOps Platform Engineer building and maintaining AWS cloud infrastructure, GitLab CI/CD pipelines, containerized workloads (Docker, ECS, Kubernetes/EKS), and Infrastructure as Code (Terraform/OpenTofu) for citizen-facing digital products, with security, observability, and incident response responsibilities.
Lead Software Engineer - Data Engineer
Lead Software Engineer at Wells Fargo building enterprise-scale data engineering solutions on Google Cloud Platform. Designs scalable ETL/ELT pipelines with Python, PySpark, SQL, BigQuery, Dataflow, and Cloud Composer, while driving technical direction and mentoring engineering teams.
Embedded Systems Architect - Robotics & Drones
Designs and develops embedded system architectures for autonomous mobile robots (AMRs) and drones, integrating sensors (cameras, lidar, radar, IMU), edge compute, real-time software, and ML-based perception into production-ready robotics platforms.